Dr. D. (Dylan) Molenaar
Faculteit der Maatschappij- en Gedragswetenschappen
Programmagroep: Psychological Methods
Expertisegebied: Measurement, test theory, Latent variable models, Item response theory, Structural equation modelling, Factor analysis
Fotograaf: Ivailo Partchev
Bezoekadres
- Nieuwe Achtergracht 129
- Kamernummer: 0.35
Postadres
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Postbus 15906
1001 NK Amsterdam
Contactgegevens
Social media
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Profile
Dylan Molenaar is an assistant professor at the University of Amsterdam, The Netherlands. His main research interests are psychometrics, measurement, latent variable models, and test theory. He has published on various topics related to psychometrics, including: measurement invariance, factor analysis, item response theory, and latent class modeling. This research has resulted in various international peer reviewed journal articles in psychometrics and statistics journals like ‘Psychometrika’, ‘Structural Equation Modeling’, ‘Multivariate Behavior Research’, and ‘British Journal of Mathematical and Statistical Psychology’. He is the recipient of the 2013 best dissertation award and the 2019 early career award by the Psychometric Society. He is associate editor of the journals “Psychometrika”, "Behavior Research Methods", and "Journal of Educational and Behavioral Statistics", and member of the editorial boards of the journals “Intelligence” and the “Psychological and Educational Measurement” section of the open access journal “Pysch”. Additionally, he is a board member of the Interuniversity Graduate School of Psychometrics and Sociometrics (IOPS; an institute for the advanced dissertation training in psychometrics and sociometrics; with an emphasis on coordination of high-quality research in this area), an ad-hoc reviewer for COTAN (the Dutch committee on tests and testing which reviews the quality of psychological tests that are available for use in the Netherlands and raises standards for the use of psychological tests), and he serves as a member in the board that advices Cito (the Dutch organization for educational testing) on the quality of tests (to be) used in the Dutch primary education system.
For an overview of my work, including papers and computer code, please see my website (you can find a link above).
Research expertise
- Measurement, test theory
- Latent variable models
- Item response theory
- Structural equation modelling
- Factor analysis
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Research
Research methods
- Statistics
- Psychometrics
Awards
2019
- Early career award, Psychometric Society, 84th annual meeting of the Psychometrics Society, Santiago, Chili, July.
2013
- Best dissertation award, Psychometric Society 78th annual meeting of the Psychometrics Society, Arnhem, The Netherlands, July.
Grants
2021
- Research and Development grant by the International Association for the Evaluation of Educational Achievement (IEA) for the project: “Validity and measurement properties in technology-enhanced test items: a balancing act” (with Saskia Wools, Remco Feskens, and Paul Drijvers) € 100,000
2015
- IOPS Graduate School Program grant (funded by NWO). Ph. D. project: “Developing Process Measurement Models with Broad Applicability”, by Joost Kruis
- Personal grant from the Dutch Organization for Scientific Research (NWO), VENI scheme. Project title: “Within-subjects Approaches to the Analysis of Responses and Response Times to Psychometric Tests” € 250,000
2007
- Personal grant from the Dutch Organization for Scientific Research (NWO), TopTalent scheme. Project title: “Statistical modeling of (cognitive) ability differentiation” € 180,000
Current cooperations
2023 – present
Member of advisory board that advices Cito (the Dutch organization for educational testing) on the quality of tests (to be) used in the Dutch primary education system.
2019 - present
Member of the board of The Interuniversity Graduate School of Psychometrics and Sociometrics (IOPS; an institute for the advanced dissertation training in psychometrics and sociometrics; with an emphasis on coordination of high-quality research in this area.)
2019 - present
Reviewer for the “Cotan”, the Dutch Committee on Tests and Testing which reviews the quality of psychological tests that are available for use in the Netherlands and raises standards for the use of psychological tests.
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Teaching
- Psychological Testing (second year undergraduate level)
- Latent Variable Modeling (third year undergraduate level)
- Structural Equation Modeling (graduate level)
PhD Supervision
- “Towards Psychometrically Interpretable Neural Networks:
Bridging the Gap between Latent Variable Models from Psychometrics and Neural Networks from Deep Learning”. PhD student: Karel Veldkamp.
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Publicaties
- refereed (73)
- wetenschappelijk (2)
- congresbijdragen (1)
- erkenning (31)
- supervised theses (1)
- proefschrift (1)
- working papers / preprints (1)
- datasets (2)
2025
- Veldkamp, K., Grasman, R., & Molenaar, D. (2025). Handling missing data in variational autoencoder based item response theory. British Journal of Mathematical & Statistical Psychology, 78(1), 378-397. https://doi.org/10.1111/bmsp.12363
2024
Hoogeveen, S., Borsboom, D., Kucharský, Š., Marsman, M., Molenaar, D., de Ron, J., Sekulovski, N., Visser, I., van Elk, M., & Wagenmakers, E.-J. (2024). Prevalence, patterns and predictors of paranormal beliefs in The Netherlands: a several-analysts approach. Royal Society Open Science, 11(9), Article 240049. https://doi.org/10.1098/rsos.240049 [details]- Kolbe, L., Molenaar, D., Jak, S., & Jorgensen, T. D. (2024). Assessing measurement invariance with moderated nonlinear factor analysis using the R package OpenMx. Psychological Methods, 29(2), 388–406. https://doi.org/10.1037/met0000501 [details]
- Su, S., Cousijn, J., Molenaar, D., Freichel, R., Larsen, H., & Wiers, R. W. (2024). From everyday life to measurable problematic smartphone use: The development and validation of the Smartphone Use Problems Identification Questionnaire (SUPIQ). Journal of Behavioral Addictions, 13(2), 506-524. https://doi.org/10.1556/2006.2024.00010 [details]
- Downloads
- 2006-article-p506
- Supplementary files
- 2006.2024.00010 suppl1
- Downloads
- Veldkamp, K., Grasman, R., & Molenaar, D. (2024). Recommendation with item response theory. Behaviormetrika. Advance online publication. https://doi.org/10.1007/s41237-024-00244-3
2023
- Junker, T. L., Bakker, A. B., Derks, D., & Molenaar, D. (2023). Agile Work Practices: Measurement and Mechanisms. European Journal of Work and Organizational Psychology, 32(1), 1-22. https://doi.org/10.1080/1359432X.2022.2096439 [details]
- Kang, I., Molenaar, D., & Ratcliff, R. (2023). A Modeling Framework to Examine Psychological Processes Underlying Ordinal Responses and Response Times of Psychometric Data. Psychometrika, 88(3), 940-974. https://doi.org/10.1007/s11336-023-09902-z [details]
- Molenaar, D. (2023). A factor analysis approach to item-level change score reliability. In L. A. van der Ark, W. H. M. Emons, & R. R. Meijer (Eds.), Essays on Contemporary Psychometrics (pp. 119-140). (Methodology of Educational Measurement and Assessment). Springer. https://doi.org/10.1007/978-3-031-10370-4_7 [details]
- Wiberg, M., Molenaar, D., Gonzáles, J., Kim, J.-S., & Hwang, H. (Eds.) (2023). Quantitative Psychology: The 87th Annual Meeting of the Psychometric Society, Bologna, Italy, 2022. (Springer Proceedings in Mathematics & Statistics; Vol. 422). Springer. https://doi.org/10.1007/978-3-031-27781-8 [details]
- van der Reep, T. H. A., Molenaar, D., Löffler, W., & Pinto, Y. (2023). Quantum detector tomography applied to the human visual system: a feasibility study. Journal of the Optical Society of America. A, Optics, Image Science and Vision, 40(2), 285-293. https://doi.org/10.1364/JOSAA.477639 [details]
- Downloads
- josaa-40-2-285
- Supplementary files
- 6185391
- Downloads
2022
- Becker, B., van Rijn, P., Molenaar, D., & Debeer, D. (2022). Item order and speededness: implications for test fairness in higher educational high-stakes testing. Assessment and Evaluation in Higher Education, 47(7), 1030-1042. Advance online publication. https://doi.org/10.1080/02602938.2021.1991273 [details]
- Breit, M., Brunner, M., Molenaar, D., & Preckel, F. (2022). Differentiation Hypotheses of Intelligence: A Systematic Review of the Empirical Evidence and an Agenda for Future Research. Psychological Bulletin, 148(7-8), 518–554. https://doi.org/10.1037/bul0000379 [details]
- Francken, J. C., Beerendonk, L., Molenaar, D., Fahrenfort, J. J., Kiverstein, J. D., Seth, A. K., & van Gaal, S. (2022). An academic survey on theoretical foundations, common assumptions and the current state of consciousness science. Neuroscience of Consciousness, 2022, Article niac011. https://doi.org/10.1093/nc/niac011 [details]
- Downloads
- niac011
- Supplementary files
- niac011 supp
- Downloads
- Klein Haneveld, E., Molenaar, D., de Vogel, V., Smid, W., & Kamphuis, J. H. (2022). Do We Hold Males and Females to the Same Standard? A Measurement Invariance Study on the Psychopathy Checklist-Revised. Journal of Personality Assessment, 104(3), 368-379. Advance online publication. https://doi.org/10.1080/00223891.2021.1947308 [details]
- Molenaar, D., Cúri, M., & Bazán, J. L. (2022). Zero and One Inflated Item Response Theory Models for Bounded Continuous Data. Journal of Educational and Behavioral Statistics, 47(6), 693-735. Advance online publication. https://doi.org/10.3102/10769986221108455 [details]
- Pronk, T., Molenaar, D., Wiers, R. W., & Murre, J. (2022). Methods to split cognitive task data for estimating split-half reliability: A comprehensive review and systematic assessment. Psychonomic Bulletin & Review, 29(1), 44-54. Advance online publication. https://doi.org/10.3758/s13423-021-01948-3 [details]
- Wiberg, M., Molenaar, D., González, J., Kim, J-S., & Hwang, H. (Eds.) (2022). Quantitative Psychology: The 86th Annual Meeting of the Psychometric Society, Virtual, 2021. (Springer Proceedings in Mathematics & Statistics; Vol. 393). Springer. https://doi.org/10.1007/978-3-031-04572-1 [details]
2021
- Jovanović, V., Molenaar, D., Gavrilov-Jerković, V., & Lazić, M. (2021). Positive Expectancies and Subjective Well‑Being: A Prospective Study Among Undergraduates in Serbia. Journal of Happiness Studies, 22(3), 1239–1258. Advance online publication. https://doi.org/10.1007/s10902-020-00271-3 [details]
- Kolbe, L., Jorgensen, T. D., & Molenaar, D. (2021). The Impact of Unmodeled Heteroskedasticity on Assessing Measurement Invariance in Single-group Models. Structural Equation Modeling, 28(1), 82-98. https://doi.org/10.1080/10705511.2020.1766357 [details]
- Kuijpers, R. E., Visser, I., & Molenaar, D. (2021). Testing the Within-State Distribution in Mixture Models for Responses and Response Times. Journal of Educational and Behavioral Statistics, 46(3), 348-373 . https://doi.org/10.3102/1076998620957240 [details]
- Molenaar, D. (2021). A Flexible Moderated Factor Analysis Approach to Test For Measurement Invariance Across a Continuous Variable. Psychological Methods, 26(6), 660-679. https://doi.org/10.1037/met0000360 [details]
- Molenaar, D., Rózsa, S., & Kõ, N. (2021). Modeling Asymmetry in the Time-Distance Relation of Ordinal Personality Items. Applied Psychological Measurement, 45(3), 178-194. https://doi.org/10.1177/0146621621990756 [details]
- Molenaar, D., Uluman, M., Tavşancıl, E., & De Boeck, P. (2021). The Hierarchical Rater Thresholds Model for Multiple Raters and Multiple Items. Open Education Studies, 3(1), 33-48. Advance online publication. https://doi.org/10.1515/edu-2020-0105 [details]
- Wiberg, M., Molenaar, D., González, J., Böckenholt, U., & Kim, J-S. (Eds.) (2021). Quantitative Psychology: The 85th Annual Meeting of the Psychometric Society, Virtual. (Springer Proceedings in Mathematics & Statistics; Vol. 353). Springer. https://doi.org/10.1007/978-3-030-74772-5 [details]
2020
- Jovanović, V., Lazić, M., Gavrilov-Jerković, V., & Molenaar, D. (2020). The Scale of Positive and Negative Experience (SPANE): Evaluation of Measurement Invariance and Convergent and Discriminant Validity. European Journal of Psychological Assessment, 36(4), 694-704. https://doi.org/10.1027/1015-5759/a000540 [details]
- Molenaar, D. (2020). [Review of: W.J. van der Linden (2016) Handbook of Item Response Theory, Volume Two: Statistical Tools]. Journal of Educational and Behavioral Statistics, 45(4), 507-511. Advance online publication. https://doi.org/10.3102/1076998620911932 [details]
- Tamimy, Z., Rózsa, S., Kõ, N., & Molenaar, D. (2020). A Practical Cross-Sectional Framework to Contextual Reactivity in Personality: Response Times as Indicators of Reactivity to Contextual Cues. Psych, 2(4), 253-268. https://doi.org/10.3390/psych2040019 [details]
- Wiberg, M., Molenaar, D., Gonzáles, J., Böckenholt, U., & Kim, J-S. (Eds.) (2020). Quantitative Psychology: 84th Annual Meeting of the Psychometric Society, Santiago, Chile, 2019. (Springer Proceedings in Mathematics & Statistics; Vol. 322). Springer. https://doi.org/10.1007/978-3-030-43469-4 [details]
2019
- Bolsinova, M., & Molenaar, D. (2019). Nonlinear Indicator-Level Moderation in Latent Variable Models. Multivariate Behavioral Research, 54(1), 62-84. Advance online publication. https://doi.org/10.1080/00273171.2018.1486174 [details]
- Related datasets
- Bolsinova, M. & Molenaar, D. (2018). Nonlinear Indicator-Level Moderation in Latent Variable Models. Taylor & Francis. https://doi.org/10.6084/m9.figshare.7418426.v1
- Bolsinova, M. & Molenaar, D. (2018). Nonlinear Indicator-Level Moderation in Latent Variable Models. Taylor & Francis. https://doi.org/10.6084/m9.figshare.7418426.v1
- Related datasets
- Kovacs, K., Molenaar, D., & Conway, A. R. A. (2019). The domain specificity of working memory is a matter of ability. Journal of Memory and Language, 109, Article 104048. https://doi.org/10.1016/j.jml.2019.104048 [details]
- Molenaar, D., Rózsa, S., & Bolsinova, M. (2019). A Heteroscedastic Hidden Markov Mixture Model for Responses and Categorized Response Times. Behavior Research Methods, 51(2), 676-696. https://doi.org/10.3758/s13428-019-01229-x [details]
- Wiberg, M., Culpepper, S., Janssen, R., González, J., & Molenaar, D. (Eds.) (2019). Quantitative Psychology: 83rd Annual Meeting of the Psychometric Society, New York, NY 2018. (Springer Proceedings in Mathematics & Statistics; Vol. 265). Springer. https://doi.org/10.1007/978-3-030-01310-3 [details]
2018
- Bolsinova, M., & Molenaar, D. (2018). Modeling nonlinear conditional dependence between response time and accuracy. Frontiers in Psychology, 9(1525), Article 1525. https://doi.org/10.3389/fpsyg.2018.01525 [details]
- Molenaar, D., & de Boeck, P. (2018). Response Mixture Modeling: Accounting for Heterogeneity in Item Characteristics across Response Times. Psychometrika, 83(2), 279-297. https://doi.org/10.1007/s11336-017-9602-9 [details]
- Molenaar, D., Bolsinova, M., & Vermunt, J. K. (2018). A semi‐parametric within‐subject mixture approach to the analyses of responses and response times. British Journal of Mathematical & Statistical Psychology, 71(2), 205-228. Advance online publication. https://doi.org/10.1111/bmsp.12117 [details]
2017
- Bolsinova, M., Tijmstra, J., & Molenaar, D. (2017). Response moderation models for conditional dependence between response time and response accuracy. British Journal of Mathematical & Statistical Psychology, 70(2), 257-279. Advance online publication. https://doi.org/10.1111/bmsp.12076 [details]
- Bolsinova, M., Tijmstra, J., Molenaar, D., & De Boeck, P. (2017). Conditional dependence between response time and accuracy: An overview of its possible sources and directions for distinguishing between them. Frontiers in Psychology, 8, Article 202. https://doi.org/10.3389/fpsyg.2017.00202 [details]
- Molenaar, D., & Bolsinova, M. (2017). A heteroscedastic generalized linear model with a non-normal speed factor for responses and response times. British Journal of Mathematical & Statistical Psychology, 70(2), 297-316. https://doi.org/10.1111/bmsp.12087 [details]
- Molenaar, D., & Visser, I. (2017). Cognitive and psychometric modelling of responses and response times. British Journal of Mathematical & Statistical Psychology, 70(2), 185-186. https://doi.org/10.1111/bmsp.12102 [details]
- Molenaar, D., Kõ, N., Rózsa, S., & Mészáros, A. (2017). Differentiation of cognitive abilities in the WAIS-IV at the item level. Intelligence, 65, 48-59. https://doi.org/10.1016/j.intell.2017.10.004 [details]
- Xenidou-Dervou, I., Molenaar, D., Ansari, D., van der Schoot, M., & van Lieshout, E. C. D. M. (2017). Nonsymbolic and symbolic magnitude comparison skills as longitudinal predictors of mathematical achievement. Learning and Instruction, 50, 1-13. Advance online publication. https://doi.org/10.1016/j.learninstruc.2016.11.001 [details]
- de Kort, J. M., Dolan, C. V., Lubke, G. H., & Molenaar, D. (2017). Studying the strength of prediction using indirect mixture modeling: nonlinear latent regression with heteroskedastic residuals. Structural Equation Modeling, 24(2), 301-313. https://doi.org/10.1080/10705511.2016.1250636 [details]
2016
- Molenaar, D. (2016). Intelligence tests. In J. Stone, R. M. Dennis, P. S. Rizova, A. D. Smith, & X. Hou (Eds.), The Wiley Blackwell encyclopedia of race, ethnicity and nationalism (Vol. 3). (Wiley Blackwell encyclopedias in social sciences). Wiley Blackwell. Advance online publication. https://doi.org/10.1002/9781118663202.wberen544 [details]
- Molenaar, D. (2016). On the Distortion of Model Fit in Comparing the Bifactor Model and the Higher-Order Factor Model. Intelligence, 57, 60-63. Advance online publication. https://doi.org/10.1016/j.intell.2016.03.007 [details]
- Molenaar, D., Bolsinova, M., Rozsa, S., & De Boeck, P. (2016). Response Mixture Modeling of Intraindividual Differences in Responses and Response Times to the Hungarian WISC-IV Block Design Test. Journal of Intelligence, 4(3), Article 10. https://doi.org/10.3390/jintelligence4030010 [details]
- Molenaar, D., Middeldorp, C. M., Willemsen, G., Ligthart, L., Nivard, M. G., & Boomsma, D. I. (2016). Evidence for Gender-Dependent Genotype by Environment Interaction in Adult Depression. Behavior genetics, 46(1), 59-71. https://doi.org/10.1007/s10519-015-9752-4 [details]
- Molenaar, D., Oberski, D., Vermunt, J., & de Boeck, P. (2016). Hidden Markov Item Response Theory Models for Responses and Response Times. Multivariate Behavioral Research, 51(5), 606-626. https://doi.org/10.1080/00273171.2016.1192983 [details]
- Murray, A. L., Booth, T., & Molenaar, D. (2016). Personality differentiation by cognitive ability: An application of the moderated factor model. Personality and Individual Differences, 100, 73-78. Advance online publication. https://doi.org/10.1016/j.paid.2016.03.094 [details]
- Murray, A. L., Booth, T., & Molenaar, D. (2016). When middle really means 'top' or 'bottom': An analysis the 16PF5 using Bock’s nominal response model. Journal of Personality Assessment, 98(3), 319-331. https://doi.org/10.1080/00223891.2015.1095197 [details]
- Murray, A. L., Molenaar, D., Johnson, W., & Krueger, R. F. (2016). Dependence of Gene-by-Environment Interactions (GxE) on Scaling: Comparing the Use of Sum Scores, Transformed Sum Scores and IRT Scores for the Phenotype in Tests of GxE. Behavior genetics, 46(4), 552-572. Advance online publication. https://doi.org/10.1007/s10519-016-9783-5 [details]
- Tuerlinckx, F., Molenaar, D., & van der Maas, H. L. J. (2016). Diffusion-based response-time models. In W. J. van der Linden (Ed.), Handbook of Item Response Theory. - Volume 1: Models (pp. 283-300). (Statistics in the Social and Behavioral Sciences). CRC Press. https://doi.org/10.1201/9781315374512 [details]
2015
- Borsboom, D., & Molenaar, D. (2015). Psychometrics. In J. D. Wright (Ed.), International encyclopedia of the social & behavioral sciences (2 ed., Vol. 19, pp. 418-422). Elsevier. https://doi.org/10.1016/B978-0-08-097086-8.43079-5 [details]
- Molenaar, D. (2015). Heteroscedastic latent trait models for dichotomous data. Psychometrika, 80(3), 625-644. Advance online publication. https://doi.org/10.1007/s11336-014-9406-0 [details]
- Molenaar, D. (2015). The value of response times in item response modeling. Measurement, 13(3-4), 177-181. Advance online publication. https://doi.org/10.1080/15366367.2015.1105073 [details]
- Molenaar, D., Middeldorp, C., van Beijsterveldt, T., & Boomsma, D. I. (2015). Analysis of behavioral and emotional problems in children highlights the role of genotype × environment interaction. Child Development, 86(6), 1999-2016. https://doi.org/10.1111/cdev.12451 [details]
- Molenaar, D., Tuerlinckx, F., & van der Maas, H. L. J. (2015). A bivariate generalized linear item response theory modeling framework to the analysis of responses and response times. Multivariate Behavioral Research, 50(1), 56-74. Advance online publication. https://doi.org/10.1080/00273171.2014.962684 [details]
- Downloads
- 437757
- Supplementary files
- 437757 supplement
- Downloads
- Molenaar, D., Tuerlinckx, F., & van der Maas, H. L. J. (2015). A generalized linear factor model approach to the hierarchical framework for responses and response times. British Journal of Mathematical & Statistical Psychology, 68(2), 197-219. Advance online publication. https://doi.org/10.1111/bmsp.12042 [details]
- Molenaar, D., Tuerlinckx, F., & van der Maas, H. L. J. (2015). Fitting diffusion item response theory models for responses and response times using the R package diffIRT. Journal of Statistical Software, 66(4). https://doi.org/10.18637/jss.v066.i04 [details]
- Downloads
- 437754
- Supplementary files
- diffIRT 1.5.tar
- v66i04
- v66i04-simulation
- Downloads
2014
- Molenaar, D., & Dolan, C. V. (2014). Testing systematic genotype by environment interactions using item level data. Behavior genetics, 44(3), 212-231. Advance online publication. https://doi.org/10.1007/s10519-014-9647-9 [details]
- Topper, M., Molenaar, D., Emmelkamp, P., & Ehring, T. (2014). Are rumination and worry two sides of the same coin? A structural equation modelling approach. Journal of Experimental Psychopathology, 5(3), 363-381. https://doi.org/10.5127/jep.038813 [details]
2013
- Molenaar, D., & Borsboom, D. (2013). The formalization of fairness: issues in testing for measurement invariance using subtest scores. Educational Research and Evaluation, 19(2-3), 223-244. Advance online publication. https://doi.org/10.1080/13803611.2013.767628 [details]
- Molenaar, D., van der Sluis, S., Boomsma, D. I., Haworth, C. M. A., Hewitt, J. K., Martin, N. G., Plomin, R., Wright, M. J., & Dolan, C. V. (2013). Genotype by environment interactions in cognitive ability: a survey of 14 studies from four countries covering four age groups. Behavior genetics, 43(3), 208-219. https://doi.org/10.1007/s10519-012-9581-7 [details]
2012
- Molenaar, D., & Dolan, C. V. (2012). Substantively motivated extensions of the traditional latent trait model. Netherlands Journal of Psychology, 67(3), 48-57. http://www.psynip.nl/ledennet-documenten-nip-algemeen/njp/njp-openbaar/njop_vol67_nr3-def.pdf [details]
- Molenaar, D., Dolan, C. V., & de Boeck, P. (2012). The heteroscedastic graded response model with a skewed latent trait: testing statistical and substantive hypotheses related to skewed item category functions. Psychometrika, 77(3), 455-478. https://doi.org/10.1007/s11336-012-9273-5 [details]
- Molenaar, D., van der Sluis, S., Boomsma, D. I., & Dolan, C. V. (2012). Detecting specific genotype by environment interaction using marginal maximum likelihood estimation in the classical twin design. Behavior genetics, 42(3), 483-499. https://doi.org/10.1007/s10519-011-9522-x [details]
2011
- Molenaar, D., Dolan, C. V., & van der Maas, H. L. J. (2011). Modeling ability differentiation in the second-order factor model. Structural Equation Modeling, 18(4), 578-594. https://doi.org/10.1080/10705511.2011.607095 [details]
- Wicherts, J. M., Bakker, M., & Molenaar, D. (2011). Willingness to share research data is related to the strength of the evidence and the quality of reporting of statistical results. PLoS ONE, 6(11), Article e26828. https://doi.org/10.1371/journal.pone.0026828 [details]
- van der Maas, H. L. J., Molenaar, D., Maris, G., Kievit, R. A., & Borsboom, D. (2011). Cognitive psychology meets psychometric theory: on the relation between process models for decision making and latent variable models for individual differences. Psychological Review, 118(2), 339-356. https://doi.org/10.1037/a0022749 [details]
2010
- Matzke, D., Dolan, C. V., & Molenaar, D. (2010). The issue of power in the identification of "g" with lower-order factors. Intelligence, 38(3), 336-344. https://doi.org/10.1016/j.intell.2010.02.001 [details]
- Molenaar, D., Dolan, C. V., & Verhelst, N. D. (2010). Testing and modeling non-normality within the one-factor model. British Journal of Mathematical & Statistical Psychology, 63(2), 293-317. https://doi.org/10.1348/000711009X456935 [details]
- Molenaar, D., Dolan, C. V., Wicherts, J. M., & van der Maas, H. L. J. (2010). Modeling differentiation of cognitive abilities within the higher-order factor model using moderated factor analysis. Intelligence, 38(6), 611-624. https://doi.org/10.1016/j.intell.2010.09.002 [details]
- Visch, V. T., Tan, E. S., & Molenaar, D. (2010). The emotional and cognitive effect of immersion in film viewing. Cognition & Emotion, 24(8), 1439-1445. https://doi.org/10.1080/02699930903498186 [details]
2009
- Molenaar, D., Dolan, C. V., & Wicherts, J. M. (2009). The power to detect sex differences in IQ test scores using multi-group covariance and means structure analyses. Intelligence, 37(4), 396-404. https://doi.org/10.1016/j.intell.2009.03.007 [details]
2018
- Molenaar, D., & Dolan, C. V. (2018). Nonnormality in Latent Trait Modeling. In P. Irwing, T. Booth, & D. J. Hughes (Eds.), The Wiley Handbook of Psychometric Testing: A Multidisciplinary Reference on Survey, Scale and Test Development (Vol. 1, pp. 347-373). Wiley Blackwell. https://doi.org/10.1002/9781118489772.ch13 [details]
- Wiberg, M., Culpepper, S., Janssen, R., González, J., & Molenaar, D. (Eds.) (2018). Quantitative Psychology: The 82nd Annual Meeting of the Psychometric Society, Zurich, Switzerland, 2017. (Springer Proceedings in Mathematics & Statistics; Vol. 233). Springer. https://doi.org/10.1007/978-3-319-77249-3 [details]
2020
- Kolbe, L., Jorgensen, T. D., & Molenaar, D. (2020). The impact of unmodeled heteroskedasticity on assessing measurement invariance. Poster session presented at The 9th European Congress of Methodology [online], Valencia, Spain. https://adeit-estaticos.econgres.es/20_EAM/Posters/47286_LauraKolbe.pdf
Prijs / subsidie
- Molenaar, D. (2022). Validity and measurement properties in technology-enhanced test items: a balancing act.
- Molenaar, D. (2019). Early career award.
- Molenaar, D. (2015). VENI grant: Psychologische meetprocedures voor responsen en responsetijden..
- Molenaar, D. (2013). Dissertation Award.
- Molenaar, D. (2007). John B. Caroll price for best research methodology.
- Molenaar, D. (2007). NWO Talent Grant: Statistical Modeling of Cognitive Ability Differentiation.
- Wicherts, J. M., Borsboom, D. & Molenaar, D. (2007). IOPS best paper award.
Lidmaatschap / relevante positie
- Molenaar, D. (2010). Organisation of the symposium Population Heterogeneity in SEM and IRT for the 75th annual meeting of the Psychometrics Society, Athens, USA, July, Psychometrics Society, Athens, USA.
Tijdschriftredactie
- Molenaar, D. (member of editorial board) (2024-2028). Behavior Research Methods (Journal).
- Molenaar, D. (member of editorial board) (2021-2030). Journal of Educational and Behavioral Statistics (Journal).
- Molenaar, D. (member of editorial board) (2021-2030). Psychometrika (Journal).
- Molenaar, D. (member of editorial board) (2020-2030). Psych (Journal).
- Molenaar, D. (reviewer) (2019-2030). COTAN (Commissie Testaangelegenheden Nederland) (Publisher).
- Molenaar, D. (reviewer) (2016-2019). Frontiers in Psychology (Journal).
- Molenaar, D. (member of editorial board) (2015-2030). Intelligence (Journal).
- Molenaar, D. (editor) (2015). Intelligence (Journal).
Spreker
- Molenaar, D. (speaker) (25-7-2017). Workshop: Psychometric Modeling of Responses and Response Time Data, Deutschen Institut für Internationale Pädagogische Forschung (DIPF).
- Molenaar, D. (invited speaker) (26-1-2016). Analysis of Behavioral and Emotional Problems in Children Highlights the Role of Genotype x Environment Interaction., VU University.
- Molenaar, D. (invited speaker), Oberski, D. (invited speaker), Vermunt, J. (invited speaker) & de Boeck, P. (invited speaker) (6-10-2015). A Latent Markov IRT Modeling Approach to the Analysis of Responses and Response Times., The 6th RCEC workshop on IRT., Enschede.
- Molenaar, D. (invited speaker), Oberski, D. (invited speaker), Vermunt, J. (invited speaker) & de Boeck, P. (invited speaker) (14-7-2015). Response mixture modeling of responses and response times., The 80th annual meeting of the Psychometrics Society., Beijing.
- Molenaar, D. (invited speaker) & Rhemtulla, M. (invited speaker) (13-3-2015). A procedure to test for gene-by-latent environment interactions with multiple indicators., International Convention of Psychological Science., Amsterdam.
- Molenaar, D. (invited speaker) (17-11-2014). Modeling within-subjects differences in responses and response times.
- Molenaar, D. (invited speaker) (27-1-2014). The Heteroscedastic Latent Trait Model: Motivation, Development, and Applications., The Ohio State University.
- Molenaar, D. (invited speaker) (13-1-2014). The Heteroscedastic Latent Trait Model: Motivation, Development, and Applications., University of Notre Dame.
- Molenaar, D. (keynote speaker) (25-7-2013). Testing distributional assumptions in psychometric measurement model with substantive applications in psychology, International Meeting of the Psychometric Society, Arnhem.
- Molenaar, D. (keynote speaker) (18-12-2012). Bring more Psychology into Psychometrics: Psychometric process models for the measurement of psychological attributes., Meeting of the Interuniversity Graduate School of Psychometrics and Sociometrics, Enschede.
Andere
- Molenaar, D. (participant) (3-2017 - 4-2017). Workshop: A basic introductio to Mplus (organising a conference, workshop, ...).
- Molenaar, D. (organiser) (2016). The VII European Congress of Methodology, Palma de Mallorca. Organization of the symposium Methodological advances in the
psychometric analysis of responses and response times.
(organising a conference, workshop, ...). - Molenaar, D. (organiser) (14-7-2015). The 80th annual meeting of the Psychometrics Society, Beijing. Symposium Modeling responses and response times to psychological tests (organising a conference, workshop, ...).
- Molenaar, D. (organiser) (2013). the 78th annual meeting of the Psychometrics Society, Arnhem, The Netherlands, July.. Organization of the symposium Psychometric modeling of responses and response times (organising a conference, workshop, ...).
- Molenaar, D. (organiser) (2011). the 76th annual meeting of the Psychometrics Society, Hong Kong, China. Organization of the symposium Heterogeneity in Latent Variable Models (organising a conference, workshop, ...).
2012
- Molenaar, D. (2012). Testing distributional assumptions in psychometric measurement models with substantive applications in psychology. [Thesis, fully internal, Universiteit van Amsterdam]. [details]
- Downloads
- Thesis
- Cover
- Title pages
- Contents
- 1: Introduction
- 2: Testing and modeling non-normality within the linear factor model
- 3: Testing and modeling non-normality within the graded response model
- 4: Non-normality in the second-order factor model: modeling ability differentiation
- 5: Modeling non-normality due to differentiation: the method of moderated factor analysis
- 6: Using the heteroscedastic factor model to detect specific genotype by environment interactions in the classical twin design
- 7: Heteroscedasticity due to genotype by environment interactions: an application to cognitive ability data from 14 different studies
- 8: Discussion
- Appendix: How to calculate power using the likelihood ratio test: sex differences in intelligence tests scores
- References
- Dutch summary
- Credits
- Downloads
2018
- Kruis, J., Molenaar, D., Marsman, M., Maris, G., & van der Maas, H. (2018). The Pairwise Exchange Tournament. University of Amsterdam. https://doi.org/10.13140/RG.2.2.26027.54569 [details]
2024
- van der Reep, T., Molenaar, D. & Löffler, W. (18-10-2024). Data: Measurement of Darkness. Zenodo. https://doi.org/10.5281/zenodo.13951375
2018
- Bolsinova, M. & Molenaar, D. (2018). Nonlinear Indicator-Level Moderation in Latent Variable Models. Taylor & Francis. https://doi.org/10.6084/m9.figshare.7418426.v1
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Nevenwerkzaamheden
- Geen nevenwerkzaamheden
Hoogeveen, S., Borsboom, D., Kucharský, Š., Marsman, M., Molenaar, D., de Ron, J., Sekulovski, N., Visser, I., van Elk, M., & Wagenmakers, E.-J. (2024). Prevalence, patterns and predictors of paranormal beliefs in The Netherlands: a several-analysts approach. Royal Society Open Science, 11(9), Article 240049.